{"library":"mace-torch","type":"library","category":null,"description":"MACE (Multi-Atomic Cluster Expansion) is a machine learning force field architecture based on equivariant message passing, implemented in PyTorch. Version 0.3.16 requires Python >=3.9 and is actively maintained on GitHub (ACEsuit/mace). Release cadence is irregular, approximately every 3-6 months.","language":"python","status":"active","version":"0.3.16","tags":["mace","machine learning","force fields","equivariant","ase","materials"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install mace-torch","imports":["from mace.calculators import MACECalculator","from mace.calculators import mace_mp","from mace.calculators import load_model"]}],"homepage":"https://github.com/ACEsuit/mace","github":"https://github.com/ACEsuit/mace","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}